danspielman / YINSlex
Computes lex minimizers / absolutely minimal Lipschitz extensions in graphs
☆17Updated 9 years ago
Alternatives and similar repositories for YINSlex
Users that are interested in YINSlex are comparing it to the libraries listed below
Sorting:
- Dirichlet Process K-means☆48Updated 11 months ago
- ☆30Updated 4 years ago
- Code for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).☆22Updated 6 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 2 weeks ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Off the convex path☆67Updated 2 years ago
- [NeurIPS 2019 Spotlight] High dimensional mean estimation and outlier detection in nearly-linear time.☆26Updated 5 years ago
- ☆16Updated 8 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Notes from ICLR 2019☆25Updated 6 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 10 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 5 years ago
- Implementation of the Multiscale Laplacian Graph Kernel☆18Updated 5 years ago
- Soft Decision Trees (code for ICPR 21 paper)☆32Updated 11 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Topology of decision boundaries☆28Updated 5 years ago
- ☆38Updated 7 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆29Updated 4 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Experiments from the article "Tensorial Mixture Models"☆25Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Modeling agents with probabilistic programs☆67Updated 5 years ago
- gpbo☆25Updated 4 years ago
- ☆24Updated 9 years ago
- Code Release for Task Agnostic Dynamics Priors for Deep Reinforcement Learning☆12Updated 5 years ago
- review of Deep Learning for Nature☆31Updated 9 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago